{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "cf629664",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-29T03:42:23.263072Z",
     "start_time": "2024-06-29T03:42:22.644088Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fa98d50a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-29T03:37:56.292515Z",
     "start_time": "2024-06-29T03:37:56.234651Z"
    }
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv('ERP_KHXD.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3d7dca39",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-29T03:40:14.693519Z",
     "start_time": "2024-06-29T03:40:14.688783Z"
    }
   },
   "outputs": [],
   "source": [
    "grouped_stats = df.groupby('hplx')['fhdw'].agg(['sum'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2b1db71a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-29T03:40:15.314078Z",
     "start_time": "2024-06-29T03:40:15.296458Z"
    }
   },
   "outputs": [],
   "source": [
    "grouped_stats = grouped_stats.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "fdb03c63",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-29T03:40:15.779534Z",
     "start_time": "2024-06-29T03:40:15.773166Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   hplx         sum\n",
      "0     0   954449.57\n",
      "1     1  1383953.57\n"
     ]
    }
   ],
   "source": [
    "print(grouped_stats)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d7ef5dfe",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-29T03:40:57.225988Z",
     "start_time": "2024-06-29T03:40:57.213891Z"
    }
   },
   "outputs": [],
   "source": [
    "grouped_stats.to_csv('销售量分析表', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "548c87b1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-29T03:50:32.899915Z",
     "start_time": "2024-06-29T03:50:32.783949Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Sales volume')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped_stats.plot(kind='bar')\n",
    "plt.title('Comparison chart of sales volume')  # 设置图表标题\n",
    "plt.xlabel('Type of goods')  # 设置X轴标签\n",
    "plt.ylabel('Sales volume')  # 设置Y轴标签"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d33e2409",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a71979fd",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
